Recent Submissions

  • Interoperating data-driven and model-driven techniques for the automated development of intelligent environmental decision support systems 

    Pascual Pañach, Josep; Cugueró Escofet, Miquel Àngel; Sànchez-Marrè, Miquel (Elsevier, 2021-06)
    Article
    Restricted access - publisher's policy
    This paper proposes an Intelligent Decision Support (IDS) methodology based on the integration of a data-driven technique —Case Based Reasoning (CBR)— and model-driven technique —Rule Based Reasoning (RBR)— for control, ...
  • Forecastability measures that describe the complexity of a site for deep learning wind predictions 

    Manero Font, Jaume; Béjar Alonso, Javier (2021-05-29)
    Article
    Open Access
    The application of deep learning to wind time series for multi-step prediction obtains good results at short horizons. The accuracy of a wind forecast is highly dependent on the specific structure of wind in the specific ...
  • The ethical use of high-performance computing and artificial intelligence: fighting COVID-19 at Barcelona Supercomputing Center 

    Cortés García, Claudio Ulises; Cortés Martínez, Atia; García Gasulla, Dario; Pérez Arnal, Raquel; Álvarez Napagao, Sergio; Álvarez Lacalle, Enrique (Springer Science and Business Media LLC, 2021-05-06)
    Article
    Restricted access - publisher's policy
    The COVID-19 pandemic has created an extraordinary medical, economic and humanitarian emergency. Artificial intelligence, in combination with other digital technologies, is being used as a tool to support the fight against ...
  • The impact of COVID-19 on flight networks 

    Suzumura, Toyotaro; Kanezashi, Hiroki; Dholakia, Mishal; Ishii, Euma; Álvarez Napagao, Sergio; Pérez Arnal, Raquel; García Gasulla, Dario (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    As COVID-19 transmissions spread worldwide, governments have announced and enforced travel restrictions to prevent further infections. Such restrictions have a direct effect on the volume of international flights among ...
  • Comparative analysis of geolocation information through mobile-devices under different COVID-19 mobility restriction patterns in Spain 

    Pérez Arnal, Raquel; Conesa Ortega, David; Álvarez Napagao, Sergio; Suzumura, Toyotaro; Català Sabaté, Martí; Álvarez Lacalle, Enrique; Garcia Gasulla, Dario (Multidisciplinary Digital Publishing Institute (MDPI), 2021-02-13)
    Article
    Open Access
    The COVID-19 pandemic is changing the world in unprecedented and unpredictable ways. Human mobility, being the greatest facilitator for the spread of the virus, is at the epicenter of this change. In order to study mobility ...
  • Special issue on pattern recognition and cognitive assistants 

    Falomir, Zoe; Costa Bueno, Vicent; Plaza, Enric; Gibert, Karina (Elsevier, 2020-05-01)
    Article
    Restricted access - publisher's policy
    This special issue proposes a space for researchers to discuss the challenges of bridging pattern recognition and cognitive assistants. This bridge was travelled in both sides. From one side, how pattern recognition methods ...
  • Modelling temporal relationships in pseudomonas aeruginosa antimicrobial resistance prediction in intensive care unit 

    Hernàndez Carnerero, Àlvar; Sànchez-Marrè, Miquel; Mora Jiménez, Inmaculada; Soguero Riuz, Cristina; Martínez Agüero, Sergio; Álvarez Rodríguez, Joaquín (CEUR-WS.org, 2020)
    Conference lecture
    Open Access
    In this paper, the prediction of antimicrobial resistance of Pseudomonas aeruginosa bacteria caused by nosocomial infections in the Intensive Care Unit (ICU) was considered. It was trained a Logistic Regression model using ...
  • Leveraging data science for a personalized haemodialysis 

    Hueso, Miguel; Haro Martín, Luis de; Calabria, Jordi; Dal-Re, R; Tebe, C; Gibert, Karina; Cruzado, Josep M; Vellido Alcacena, Alfredo (Karger, 2020-11)
    Article
    Open Access
    The 2019 Science for Dialysis Meeting at Bellvitge University Hospital was devoted to the challenges and opportunities posed by the use of data science to facilitate precision and personalized medicine in nephrology, and ...
  • Diet4You: a personal intelligent recommender for diets from a holistic perspective 

    Gibert, Karina; Sevilla-Villanueva, Beatriz; Sànchez-Marrè, Miquel; Marqués, Lluís; Casanova, Èric; Fitó Colomer, Montse (IOS Press, 2019-10-01)
    Article
    Restricted access - publisher's policy
    Prevention and nutrition are key for healthy lifestyles and are crucial in the new paradigm of patient-centered medicine, as healthy diet protects against chronic diseases and helps to delay diseases in general population. ...
  • Denoising wavefront sensor image with deep neural networks 

    Pou Mulet, Bartomeu; Quiñones Moreno, Eduardo; Gratadour, Damien; Martín Muñoz, Mario (International Society for Photo-Optical Instrumentation Engineers (SPIE), 2020)
    Conference report
    Open Access
    A classical closed-loop adaptive optics system with a Shack-Hartmann wavefront sensor (WFS) relies on a center of gravity approach to process the WFS information and an integrator with gain to produce the commands to a ...
  • The role of intelligent decision support systems in sustainability: an end-user experience 

    Gibert, Karina; Sànchez-Marrè, Miquel; Jadoon, Muhammad Awais; Grabiec, Natalia; Lovagnini, Greta; Perriard, Arnaud; Sharma, Sumit; Wargocki, Piotr (2019)
    Conference lecture
    Restricted access - publisher's policy
    The paper presents a preliminary analysis of some intelligent decision support systems for sustainability from the point of view of the end user experience, by comparing up to four available systems. The role that these ...
  • Evaluating University-Business Collaboration at Science Parks: a Business Perspective 

    Olvera Herrera, Claudia; Piqué, Josep Ma; Cortés García, Claudio Ulises; Nemirovsky, Mario (2020-07-01)
    Article
    Open Access
    The evaluation of the companies’ performance at University Science Parks (SPs) becomes essential in identifying the needs of the companies and the feasibility of the University-Business Collaboration (ubc). The companies’ ...

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